Amazon Email Receipt Data | Consumer Transaction Data | Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data available
收藏Datarade2024-04-19 收录
下载链接:
https://datarade.ai/data-products/amazon-email-receipt-data-consumer-transaction-data-asia-measurable-ai
下载链接
链接失效反馈官方服务:
资源简介:
The Measurable AI Amazon Consumer Transaction Dataset is a leading source of email receipts and consumer transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users. We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients. *Use Cases* Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better. *Coverage* - Asia (Japan) - EMEA (Spain, United Arab Emirates) *Granular Data* Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more *Aggregate Data* - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from app to users’ registered accounts. Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia. Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact [email protected] for a data dictionary and to find out our volume in each country.
提供机构:
Measurable AI
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集通过消费者应用收集用户授权的亚马逊电子邮件收据,提供细粒度和聚合的交易数据,覆盖亚洲、EMEA等地区,适用于市场分析、行为研究和趋势预测,且符合GDPR合规要求。
以上内容由遇见数据集搜集并总结生成



